Nvidia GPU Cloud (NGC)
Nvidia GPU Cloud helps software and enterprise companies develop AI applications and HPC workflows. It is designed for teams requiring GPU-accelerated software for deployment across cloud, data center, or edge environments.
At a glance
- Category
- Software Development
- Best for
- Software developers, Enterprise AI teams, MLOps engineers, HPC researchers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- AI Application Development, Physical AI and Digital Twins, HPC Workflow Support, Foundation Model Deployment
- Official website
- ngc.nvidia.com
Nvidia GPU Cloud (NGC) is a unified catalog for developers building AI, machine learning, and high-performance computing (HPC) applications. It provides access to GPU-optimized containers, pretrained models, and SDKs to support development from training to deployment.
The platform is designed for software companies and enterprise developers. It includes tools such as NVIDIA PyTorch for tensor computation, Triton Inference Server for model deployment, and NVIDIA NIM microservices for foundation models.
Buyers can access assets including foundation models such as Llama and DeepSeek, as well as tools for physical AI and industrial digitalization via the Omniverse platform. The catalog supports deployments in cloud, on-premises data centers, and edge devices.
Buyers should confirm hardware compatibility with NVIDIA GPUs and determine if they require production branches for stability or feature branches for early access to updates.
Key Features
Containers optimized for NVIDIA GPUs to help run AI and HPC workloads.
A library of models, including Llama and DeepSeek, available for deployment.
Microservices designed to help accelerate the deployment of foundation models.
Open-source software that supports deploying trained AI models from various frameworks.
A toolkit for building accelerated video analytics pipelines.
Development kits and deployment charts for cloud and data center orchestration.
Use Cases
Using GPU-optimized containers and frameworks like PyTorch to build and train AI applications.
Developing industrial digital twins and robotics simulations using the Omniverse Kit and OpenUSD.
Implementing high-performance computing workflows using specialized GPU resources.
Deploying large language models through NVIDIA NIM microservices.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
NGC is a unified catalog that provides GPU-optimized containers, pretrained AI models, SDKs, and Helm charts for AI and high-performance computing.
It is designed for software companies and enterprise developers building AI applications, digital twins, and HPC workflows.
Yes, the catalog provides resources and containers designed for deployment in the cloud, data centers, and at the edge.
Source category: Software Development
Source subcategory: Machine Learning Platform
